摘要
随着低碳环保的生活理念越来越深入人心,节能已成为城市轨道交通运行的目标。着眼于再生制动能技术在列车运行过程中日益突出的效用,笔者利用再生制动能,以求得所有列车运行总能耗最低的时间间隔为目标,建立了优化多列车发车间隔的模型。该模型采用微元法将位移、速度与时间的关系表示出来,并算出列车牵引能耗,再结合再生制动能创建模型,通过改进的遗传算法求解,得到列车最优的发车间隔和运行图。
With the living concept of low carbon and environmental protection more and more deeply rooted in the people's mind,energy saving operation has become the target of urban rail transit operation.Focusing on the increasingly prominent utility of regenerative braking energy technology in the train operation process,a model is established to optimize the train departure interval based on the regenerative braking energy with obtaining all the train time interval of the lowest total energy consumption as a goal.In this model,the relationship between distance,velocity and time is expressed by the infinitesimal method,and the traction energy consumption of the train is calculated by this principle.Then,the model is established with regenerative braking energy,and the optimal departure interval and operation diagram of the train are obtained by the improved genetic algorithm.
作者
李世鹏
田壮
Li Shipeng;Tian Zhuang(East China Jiaotong University,Nanchang Jiangxi 330013,China)
出处
《信息与电脑》
2018年第2期35-38,共4页
Information & Computer
基金
江西省教育厅科技项目"城轨列车追踪运行的节能操纵优化研究"(项目编号:GJJ160490)
关键词
列车发车间隔
再生制动能
遗传算法
train departure interval
regenerative braking energy
genetic algorithm
